This package contains convenience functions I have written to help deal with spatial data spread across multiple UTM zones and aggregating raster data to overlapping polygons.
To install the latest release on CRAN:
install.packages("RWmisc")
You can install the latest development version from GitHub with:
library(remotes)
install_github("jayrobwilliams/RWmisc")
The functions contained in this package serve to make working with
spatial data on large scale easy, as when carrying out cross-national
analyses with spatial data. The function projectUTM
can
project sf
and sp
objects in latitude,
longitude coordinate reference systems, and can even re-project
already-projected objects in other projected coordinate reference
systems.
library(sf)
#> Linking to GEOS 3.8.1, GDAL 3.1.4, PROJ 6.3.1
library(RWmisc)
<- st_read(system.file("shape/nc.shp", package="sf"))
nc
projectUTM(nc)
The theme_rw
function is the minimalist theme I often
use for figure in my work. While it is useful for standard plots, it is
an especially large improvement over the ggplot2
defaults
for maps.
library(ggplot2)
ggplot(aes(fill = BIR74), data = nc) +
geom_sf()
ggplot(aes(fill = BIR74), data = nc) +
geom_sf() +
theme_rw()